Data Scientist

Mahindra Group; Chakan; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mahindra Group in India seeks a data scientist who blends hands-on ML with team leadership to own end-to-end AI initiatives across the enterprise. You will drive impact by translating business problems into analytical frameworks and delivering scalable ML solutions.

The role requires 3–5 years of hands-on experience, strong Python/SQL skills, and proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost).

Qualifications

• Degree in BE/BTech or MTech (required).
• 3–5 years hands-on data science / ML experience.
• Strong programming in Python and SQL with ML libraries.

Responsibilities

• Translate high-level business problems into analytical frameworks
• Design, build, and deploy ML models, statistical frameworks, and data pipelines.
• Perform deep data exploration and generate actionable insights.
• Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs.
• Conduct robust feature engineering, model evaluation, and tuning.
• Communicate findings clearly to technical and non-technical stakeholders.
• Manage timelines, prioritize tasks, and align with cross-functional stakeholder

Skills

Data science

Machine learning

Analytics

Communication

Stakeholder engagement

Education

BE/BTech or MTech in relevant field

Tools

Python

SQL

scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

Job Purpose

A balanced mix of hands-on expertise as a data scientist and team management capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. The candidate will own critical projects end-to-end to drive enterprise-wide AI initiatives.

Key Responsibilities

1. Translate high-level business problems into analytical frameworks
2. Design, build, and deploy machine learning models, statistical frameworks, and data pipelines.
3. Perform deep data exploration and generate actionable insights.
4. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs.
5. Conduct robust feature engineering, model evaluation, and tuning.
6. Communicate findings clearly to technical and non-technical stakeholders.
7. Manage timelines, prioritize tasks, and align with cross-functional stakeholder

Skills & Qualifications

1. Degree in B.E / B.tech / M.Tech
2. 3 - 5 years of hands-on experience in data science, machine learning, or analytics
3. Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
4. Strong understanding of supervised/unsupervised ML, A/B testing, and statistical modeling.
5. Excellent communication, problem-solving, and stakeholder engagement skills.
6. Experience working with both structured and unstructured data at scale.